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Rodolfo da Silva Villaça

Federal University of Espirito Santo

Av. Fernando Ferrari, 514

No. 514, Goiabeiras

Vitória, 29075

Brazil

  • Federal University of Espirito Santo

SCHOLARLY PAPERS

4

DOWNLOADS

245

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

Forecasting Energy Power Consumption Using Federated Learning in Edge Computing Devices

Number of pages: 15 Posted: 05 Jun 2023
Eduardo Montagner de Moraes Sarmento, Iran Freitas Ribeiro, Pablo Rafael Neves Marciano, Yrui Giovan Neris, Helder R. O. Rocha, Vinicius Fernandes Soares Mota and Rodolfo da Silva Villaça
Federal University of Espirito Santo, Federal University of Espirito Santo, Federal University of Espirito Santo, Federal University of Espirito Santo, Federal University of Espirito Santo, Federal University of Espirito Santo and Federal University of Espirito Santo
Downloads 159 (469,621)

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Federated Learning, Forecasting Energy Consumption, Privacy Requirements, Edge Computing, GANs, Dataset Augmentation

2.

Secure and Efficient Federated Learning: Advancing Cybersecurity, Privacy, and Trust Through Fedsketchand Ckksfed

Number of pages: 19 Posted: 17 May 2025
Eduardo Montagner de Moraes Sarmento, João Pedro Camargo Batista, Johann Jakob Schmitz Bastos, Vinicius Fernandes Soares Mota and Rodolfo da Silva Villaça
Federal University of Espirito Santo, Federal University of Espirito Santo, Federal University of Espirito Santo, Federal University of Espirito Santo and Federal University of Espirito Santo
Downloads 51 (1,063,489)

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federated learning, Homomorphic Encryption, Privacy, Compressing, Sketches, Security

3.

Building Realistic Cybersecurity Datasets Through a Edge Cloud Testbed with Cost-Aware Monitoring

Number of pages: 42 Posted: 09 Jan 2026
Willen Borges Coelho, Giovanni Ventorim Comarela, Rodolfo Vieira Valentim, Idilio Drago and Rodolfo da Silva Villaça
affiliation not provided to SSRN, Universidade Federal do Espírito Santo, University of Turin, University of Turin and Federal University of Espirito Santo
Downloads 28 (1,359,097)

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Cybersecurity, Cyberattacks, Cloud Services, Experimental Infrastructure, Cloud Monitoring, Cost-Aware Monitoring, Datasets

4.

Secure and Efficient Federated Learning Using Sketches and Fully Homomorphic Encryption

Number of pages: 21 Posted: 04 Apr 2026
Eduardo M. M. Sarmento, João Pedro Camargo Batista, Johann Jakob Schmitz Bastos, Vinicius Fernandes Soares Mota and Rodolfo da Silva Villaça
Federal University of Espirito Santo, Federal University of Espirito Santo, Federal University of Espirito Santo, Federal University of Espirito Santo and Federal University of Espirito Santo
Downloads 7 (1,566,597)

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Compressing, Federated learning, Homomorphic Encryption, privacy, security, Sketches